Automate the end-to-end triage of UAT feedback across Notion, Slack, and Gmail.
The AI agent automatically extracts key fields from feedback and classifies type, severity, and title with a confidence score. It searches Notion for duplicates and upserts or creates a backlog item as needed. It notifies testers via Slack or Gmail and returns a webhook payload for downstream automation.
End-to-end actions performed by the AI agent.
Parse incoming feedback to extract type, severity, and suggested title.
Classify feedback with a confidence score and structured summary.
Search Notion for existing duplicates by the suggested title.
Upsert or create a Notion backlog item with standardized fields.
Notify testers via Slack or Gmail when the item is created or updated.
Return a webhook payload for downstream automation.
Two sentences of explanation.
A simple 3-step flow for non-technical users.
Receives feedback via webhook and standardizes fields.
AI classifies type, severity, and title; searches Notion for duplicates; upserts item.
Notifies testers via Slack or Gmail and returns a structured webhook payload.
A realistic scenario showing inputs, actions and outcomes.
Scenario: A tester submits a feature request through a form at 10:15 AM. The AI agent triages it, assigns Type=Feature and Severity=Medium, detects no existing item, creates a new backlog entry in Notion, and notifies the tester via Slack within 2 minutes. The webhook payload is returned for downstream automation.
One supporting sentence.
Need fast, structured triage and a single source of truth for UAT requests.
Keeps backlog clean with deduplication and consistent item structure.
Monitors tester feedback flow and closes the loop with testers.
Access to structured feature requests that map to design decisions.
Captures and triages customer feedback from forms and channels.
Receives clean backlog items with clear titles for planning.
One supporting sentence.
Search for duplicates by title; upsert or create backlog items in the roadmap database.
Notify testers of receipt and status via channel messages.
Notify testers by email when Slack is unavailable; provide confirmation.
Triage and generate structured JSON with type, severity, title, and confidence.
One supporting sentence.
One supporting sentence.
The AI triage happens within seconds of receiving feedback. It extracts key fields, classifies type and severity, and generates a structured title with a confidence score. The system then searches Notion for duplicates and performs an upsert if needed, updating the backlog item or creating a new one. The tester is notified via Slack or Gmail as configured, and a webhook payload is produced for downstream automation.
The agent searches Notion by the suggested title and updates the existing item with new input while preserving prior history. It can append new context or change status to reflect the latest feedback. This prevents duplicates and maintains a coherent backlog history. Notion’s history and comments provide traceability.
Yes. You can adjust classification prompts, mapping rules for type and severity, and the logic used to detect duplicates. The agent supports customizing the fields it upserts in Notion and how the title is generated. This allows alignment with your backlog schema and product planning process. Changes can be tested in a sandbox environment.
Yes. The agent falls back to Gmail for tester notifications when Slack is offline or unavailable. It also returns a structured webhook payload regardless of notification channel. This ensures testers receive timely acknowledgement and maintain visibility into the feedback lifecycle.
Yes. The agent can map to Notion fields in your backlog database and preserve custom fields in the upsert operations. It uses the Notion API to update existing items or create new ones with standardized titles and metadata. This supports flexible schema while maintaining consistency.
The webhook payload includes the extracted type, severity, a structured title, a confidence score, and references to the Notion item upserted or created. It also contains status, tester contact info, and links to the relevant backlog entry for traceability. The payload is designed for easy consumption by downstream automation tools and dashboards.
Yes. You can set up a sandbox Notion database and a test webhook to simulate real feedback. This allows you to validate classification accuracy, deduplication behavior, and notification flows before production. You can adjust prompts and mappings in a safe environment and re-run tests as needed.
Automate the end-to-end triage of UAT feedback across Notion, Slack, and Gmail.
